Commodities Quant Developer

Oxford Knight; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading hedge fund in London is seeking a Quant Developer with strong Python skills and experience in commodities. This role involves developing models and analytics for trading, ensuring seamless system operations and collaboration with technology teams. The company prides itself on a dynamic culture that promotes innovation and career growth.

Benefits

Competitive base salary & bonus

Career progression support

High-performance engineering culture

Qualifications

• 3+ years’ hands-on development experience.
• Experience with scientific libraries: pandas, numpy, scipy.
• Fluent in at least two programming languages.

Responsibilities

• Build and support models and tools for Portfolio Managers.
• Monitor prop commodity systems and provide interface support.
• Document infrastructure for system developments.

Skills

Python

Analytical skills

Problem-solving skills

Knowledge of commodities

Education

Bachelor’s degree in Computer Science/Engineering

Job description

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A world-class hedge fund is looking for an experienced Quant Developer with exceptional comms to support commodity trading by building and supporting custom models, tools and analytics for Portfolio Managers and traders.

You’ll need to be comfortable delivering solutions in a fast-paced trading environment, and your main focus will be the day-to-day operation and monitoring of the prop commodity systems. A hands-on QD, you’ll collaborate with technology teams across the business to build interfaces with other systems, as well as providing support for the platform and developing written documentation of infrastructure.

This role would suit someone who works well autonomously and has experience of commodities and trading. The culture here is second-to-none: new ideas are always welcomed, career development is encouraged and the benefits offered are world-class.

Requirements

• 3+ years’ hands-on development experience (working directly with PMs and traders preferred)
• Strong knowledge of Python, including scientific libraries (pandas, numpy, scipy, etc.), plus experience of at least two other languages
• Strong knowledge of commodities, or alternative asset classes
• Solid analytical and problem-solving skills
• Experience with modern software development practices
• Bachelor’s degree in Computer Science/Engineering (or related field) – minimum 2.1 or 3.5 GPA
• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have an impact
• Contributions are rewarded; career progression supported
• High-performance engineering culture with the change to work with industry leaders